NiPred - Need Predictor for Hurricane Disaster Relief.
SSTD '19: Proceedings of the 16th International Symposium on Spatial and Temporal Databases(2019)
摘要
It is of paramount importance to know the situations of people who undergone disaster events and be aware of their updates, yet it is not an easy job to accomplish in the chaos of a disaster. To facilitate advanced disaster relief organization and efficient supplement distribution, we develop NiPred, a social media based need prediction prototype that predicts needs for victims across the affected area. NiPred first extracts problems and concerns posted by victims of disaster-hurricane, in our case study; then displays the statistics to offer an overview for awareness and further analysis; and last, predicts the needs such as "diaper", "boat", "canoe" and "shelter" etc. for disaster relief planning.
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关键词
Concern flow, Multilabel classification, Need Prediction
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